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20222026
most citedJoint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference

2 citations · 3 across the 8 of their papers we have counts for

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cs.CR2022★ 2 cited

Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference

Qiao Zhang, Tao Xiang, Chunsheng Xin +2

While it is encouraging to witness the recent development in privacy-preserving Machine Learning as a Service (MLaaS), there still exists a significant performance gap for its depl…

cs.DC2022

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

Cong Wang, Bin Hu, Hongyi Wu

Energy is an essential, but often forgotten aspect in large-scale federated systems. As most of the research focuses on tackling computational and statistical heterogeneity from th…